Digital visibility has changed significantly in the last few years. It was once driven primarily by traditional search and planned campaign cycles. Now discovery happens across a broader set of channels, including AI search and generative experiences, social platforms, reviews, maps, and local listings. In practice, visibility increasingly depends on consistent execution over time. Brands need accurate business information, current content, and timely engagement that is maintained day after day and at scale.
For many enterprise and multi-location organizations, the limiting factor is not strategy. It is the ability to sustain the operational work required to keep thousands of locations accurate, active, and responsive across the channels where customers look for information.
SOCi has focused on addressing that execution challenge by shifting the model from software teams operate to one in which more work is performed by brand-trained agents. This month, SOCi reached a new milestone of more than 200,000 brand-trained Genius Agents deployed, completing 12.5 million tasks on behalf of enterprise brands. At that scale, the impact is measurable. SOCi estimates 1 million hours saved and $2.1 billion in annualized marketing value recaptured through improvements in accuracy, freshness, and trust signals that influence discovery outcomes.
The concept of an agentic workforce is intended to support staffing-level execution across distributed brands. In this model, each location is supported by a dedicated AI agent trained on brand standards and guided by a centralized intelligence layer that serves as a source of truth for brand knowledge, guidelines, and goals. That shared intelligence helps ensure actions remain consistent with brand expectations while still accounting for location-level needs and changes in the external landscape.
The work agents perform is the ongoing set of activities that typically requires significant manual coordination across large organizations. This includes maintaining consistent, accurate location information across discovery channels; publishing and refreshing content to keep it current; responding to customer reviews and other engagement signals in a timely manner; and adjusting execution as platforms and algorithms evolve.
As discovery continues to fragment across platforms and experiences, the operational side of marketing is becoming a larger factor in performance. Many brands are looking for ways to maintain an always-on presence without adding headcount at the same rate as the work expands. Agent-based execution is increasingly being evaluated as a practical option for meeting that requirement at enterprise scale.